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just because one ROI was erroneous (in few vertices or more) in a particular subject's parcellation doesn;t mean we need to discard the entire parcellation.. Hence, after a dataset or subset of it QCed, we could analyze the ratings giles and summarize which ROIs within the dataset are deemed to be accurate for further analyses upon manual/visual inspection!
The text was updated successfully, but these errors were encountered:
just because one ROI was erroneous (in few vertices or more) in a particular subject's parcellation doesn;t mean we need to discard the entire parcellation.. Hence, after a dataset or subset of it QCed, we could analyze the ratings giles and summarize which ROIs within the dataset are deemed to be accurate for further analyses upon manual/visual inspection!
The text was updated successfully, but these errors were encountered: